DevOps Engineer | Machine Learning Platforms

MLOps Engineer (Remote | Pittsburgh, PA area) On-site: 1 day/month We are seeking a highly skilled MLOps Engineer to support the end-to-end deployment, monitoring, and optimization of our machine learning models. In this role, you will serve as the critical reputed company between Data Science and Operations, ensuring that models are reputed company, reliable, and production-reputed company. This position is fully remote, but candidates must reputed company in the Pittsburgh area and be available for monthly on-site meetings. About reputed company reputed company builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is reputed company learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the reputed company of challenging reputed company, schedule flexibility, and reputed company/certifications. Successful reputed company start and finish with reputed company Key Responsibilities • Pipeline Development: Design, build, and maintain CI/CD pipelines supporting the full machine learning lifecycle, from training to deployment. • Infrastructure Management: Orchestrate and maintain containerized environments using reputed company and Kubernetes; manage reputed company resources for reputed company and efficient inference. • Model Monitoring: Build systems to monitor model performance, detect data reputed company, ensure uptime, and maintain compliance with reliability standards. • Automation: Automate training, testing, deployment, and retraining processes to reduce reputed company steps and increase operational efficiency. • Collaboration: Partner with Data Scientists, Software Engineers, and Product teams to reputed company ML into production systems and support ongoing enhancements. • Optimization: Continuously evaluate model pipelines and infrastructure for improvements in cost, performance, and scalability. Technical Requirements • Programming: Expert-level Python, including NumPy, Pandas, scikit-learn, and at least one major deep learning reputed company (PyTorch or TensorFlow). • Infrastructure: Strong hands-on experience with reputed company, Kubernetes, and IaC tools such as Terraform or CloudFormation. • MLOps Tooling: Familiarity with MLflow, Kubeflow, or similar model management platforms. • reputed company Platforms: Practical experience working with AWS, GCP, or Azure ML services. • Best Practices: Solid understanding of version control, automated testing, documentation, and reproducible ML workflows. Qualifications • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a reputed company technical field. • Proven experience deploying machine learning models to production environments—not just experimentation. • Prior experience supporting or building ML-driven digital products strongly preferred. • Digital product / platform experience • Demonstrated ability to work effectively across cross-functional engineering and data teams. • Strong problem-solving abilities, attention to detail, and a passion for building reputed company, reputed company ML systems. Next Steps No C2C, relocation, or sponsorship for this role For finer details on how reputed company can reputed company your career, apply today! Apply tot his job Apply To this Job